Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND

Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations.

METHODS

The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds.

FINDINGS

The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles.

INTERPRETATION

Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere.

FUNDING

Bill & Melinda Gates Foundation.

Persistent poverty disparities in incidence and outcomes among oral and pharynx cancer patients

PURPOSE

Disparities in oral cavity and pharyngeal cancer based on race/ethnicity and socioeconomic status have been reported, but the impact of living within areas that are persistently poor at the time of diagnosis and outcome is unknown. This study aimed to investigate whether the incidence, 5-year relative survival, stage at diagnosis, and mortality among patients with oral cavity and pharyngeal cancers varied by persistent poverty.

METHODS

Data were drawn from the SEER database (2006-2017) and included individuals diagnosed with oral cavity and pharyngeal cancers. Persistent poverty (at census tract) is defined as areas where ≥ 20% of the population has lived below the poverty level for ~ 30 years. Age-adjusted incidence and 5-year survival rates were calculated. Multivariable logistic regression was used to estimate the association between persistent poverty and advanced stage cancer. Cumulative incidence and multivariable subdistribution hazard models were used to evaluate mortality risk. In addition, results were stratified by cancer primary site, sex, race/ethnicity, and rurality.

RESULTS

Of the 90,631 patients included in the analysis (61.7% < 65 years old, 71.6% males), 8.8% lived in persistent poverty. Compared to non-persistent poverty, patients in persistent poverty had higher incidence and lower 5-year survival rates. Throughout 10 years, the cumulative incidence of cancer death was greater in patients from persistent poverty and were more likely to present with advanced-stage cancer and higher mortality risk. In the stratified analysis by primary site, patients in persistent poverty with oropharyngeal, oral cavity, and nasopharyngeal cancers had an increased risk of mortality compared to the patients in non-persistent poverty.

CONCLUSION

This study found an association between oral cavity and pharyngeal cancer outcomes among patients in persistent poverty indicating a multidimensional strategy to improve survival.

Racial Differences in Vaginal Fluid Metabolites and Association with Systemic Inflammation Markers among Ovarian Cancer Patients: A Pilot Study

The vaginal microbiome differs by race and contributes to inflammation by directly producing or consuming metabolites or by indirectly inducing host immune response, but its potential contributions to ovarian cancer (OC) disparities remain unclear. In this exploratory cross-sectional study, we examine whether vaginal fluid metabolites differ by race among patients with OC, if they are associated with systemic inflammation, and if such associations differ by race. Study participants were recruited from the Ovarian Cancer Epidemiology, Healthcare Access, and Disparities Study between March 2021 and September 2022. Our study included 36 study participants with ovarian cancer who provided biospecimens; 20 randomly selected White patients and all 16 eligible Black patients, aged 50-70 years. Acylcarnitines (n = 45 species), sphingomyelins (n = 34), and ceramides (n = 21) were assayed on cervicovaginal fluid, while four cytokines (IL-1β, IL-10, TNF-α, and IL-6) were assayed on saliva. Seven metabolites showed >2-fold differences, two showed significant differences using the Wilcoxon rank-sum test (p < 0.05; False Discovery Rate > 0.05), and 30 metabolites had coefficients > ±0.1 in a Penalized Discriminant Analysis that achieved two distinct clusters by race. Arachidonoylcarnitine, the carnitine adduct of arachidonic acid, appeared to be consistently different by race. Thirty-eight vaginal fluid metabolites were significantly correlated with systemic inflammation biomarkers, irrespective of race. These findings suggest that vaginal fluid metabolites may differ by race, are linked with systemic inflammation, and hint at a potential role for mitochondrial dysfunction and sphingolipid metabolism in OC disparities. Larger studies are needed to verify these findings and further establish specific biological mechanisms that may link the vaginal microbiome with OC racial disparities.

Racial and ethnic disparities in genomic testing among lung cancer patients: a systematic review

INTRODUCTION

Racial and ethnic disparities in genomic testing could exacerbate disparities in access to precision cancer therapies and survival-particularly in the context of lung cancer, where genomic testing has been recommended for the past decade. However, prior studies assessing disparities in genomic testing have yielded mixed results.

METHODS

We conducted a systemic review to examine racial and ethnic disparities in the use of genomic testing among lung cancer patients in the U.S. Two comprehensive searches in PubMed, Embase, and Scopus were conducted (September 2022, May 2023). Original studies that assessed rates of genomic testing by race or ethnicity were included. Findings were narratively synthesized by outcome.

RESULTS

The search yielded 2,739 unique records, resulting in 18 included studies. All but one study was limited to patients diagnosed with non-small cell lung cancer. Diagnosis years ranged from 2007-2022. Eleven of 18 studies found statistically significant differences in the likelihood of genomic testing by race or ethnicity; in seven of these studies, testing was lower among Black patients compared to White or Asian patients. However, many studies lacked adjustment for key covariates and included patients with unclear eligibility for testing.

CONCLUSIONS

A majority of studies, though not all, observed racial and ethnic disparities in the use of genomic testing among patients with lung cancer. Heterogeneity of study results throughout a period of changing clinical guidelines suggests that minoritized populations-Black patients in particular-have faced additional barriers to genomic testing, even if not universally observed at all institutions.

Health Care Access Barriers and Self-Reported Health Among Adolescent and Young Adult Cancer Survivors

Purpose: Adolescents and young adult (AYA) cancer survivors (15-39 years at diagnosis) are at risk for treatment-related late effects but face barriers in accessing survivorship care. We examined the prevalence of five health care access (HCA) barriers: affordability, accessibility, availability, accommodation, and acceptability. Methods: We identified AYA survivors from the University of North Carolina (UNC) Cancer Survivorship Cohort who completed a baseline questionnaire in 2010-2016. Participants had a history of cancer, were ≥18 years of age, and receiving care at a UNC oncology clinic. The sample was restricted to AYA survivors who were interviewed ≥1 year postdiagnosis. We used modified Poisson regression to estimate prevalence ratios (PRs) for the association between HCA barriers and self-reported fair or poor health, adjusted for sociodemographic and cancer characteristics. Results: The sample included 146 AYA survivors who were a median age of 39 at the time of the survey. The majority (71%)-and 92% of non-Hispanic Black survivors-reported at least one HCA barrier, including acceptability (40%), accommodation (38%), or affordability (31%). More than one-quarter of survivors (28%) reported fair or poor health. Affordability barriers (PR: 1.89, 95% confidence interval [CI]: 1.13-3.18) and acceptability barriers (PR: 1.60, 95% CI: 0.96-2.66) were associated with a higher prevalence of fair/poor health, as were the cumulative effects of multiple HCA dimensions reported as barriers. Conclusions: Barriers across multiple HCA dimensions were prevalent and associated with worse health in AYA survivors. Findings highlight the need to better understand and target specific barriers to care for diverse AYA survivors to improve their long-term health.

Trends in Cancer Mortality Disparities Between Black and White Individuals in the US, 2000-2020

This cross-sectional study compares trends in estimated age-adjusted cancer mortality rates between non-Hispanic Black and non-Hispanic White individuals in the US from 2000 to 2020.

Lung Cancer Screening in Clinical Practice: A 5-Year Review of Frequency and Predictors of Lung Cancer in the Screened Population

PURPOSE

The aims of this study were to evaluate (1) frequency, type, and lung cancer stage in a clinical lung cancer screening (LCS) population and (2) the association between patient characteristics and Lung CT Screening Reporting & Data System (Lung-RADS®) with lung cancer diagnosis.

METHODS

This retrospective study enrolled individuals undergoing LCS between January 1, 2015, and June 30, 2020. Individuals' sociodemographic characteristics, Lung-RADS scores, pathology-proven lung cancers, and tumor characteristics were determined via electronic health record and the health system's tumor registry. Associations between the outcome of lung cancer diagnosis within 1 year after LCS and covariates of sociodemographic characteristics and Lung-RADS score were determined using logistic regression.

RESULTS

Of 3,326 individuals undergoing 5,150 LCS examinations, 102 (3.1%) were diagnosed with lung cancer within 1 year of LCS; most of these cancers were screen detected (97 of 102 [95.1%]). Over the study period, there were 118 total LCS-detected cancers in 113 individuals (3.4%). Most LCS-detected cancers were adenocarcinomas (62 of 118 [52%]), 55.9% (65 of 118) were stage I, and 16.1% (19 of 118) were stage IV. The sensitivity, specificity, positive predictive value, and negative predictive value of Lung-RADS in diagnosing lung cancer within 1 year of LCS were 93.1%, 83.8%, 10.6%, and 99.8%, respectively. On multivariable analysis controlling for sociodemographic characteristics, only Lung-RADS score was associated with lung cancer (odds ratio for a one-unit increase in Lung-RADS score, 4.68; 95% confidence interval, 3.87-5.78).

CONCLUSIONS

The frequency of LCS-detected lung cancer and stage IV cancers was higher than reported in the National Lung Screening Trial. Although Lung-RADS was a significant predictor of lung cancer, the positive predictive value of Lung-RADS is relatively low, implying opportunity for improved nodule classification.

Association of reproductive risk factors and breast cancer molecular subtypes: a systematic review and meta-analysis

BACKGROUND

Associations between reproductive factors and breast cancer (BC) risk vary by molecular subtype (i.e., luminal A, luminal B, HER2, and triple negative/basal-like [TNBC]). In this systematic review and meta-analysis, we summarized the associations between reproductive factors and BC subtypes.

METHODS

Studies from 2000 to 2021 were included if BC subtype was examined in relation to one of 11 reproductive risk factors: age at menarche, age at menopause, age at first birth, menopausal status, parity, breastfeeding, oral contraceptive (OC) use, hormone replacement therapy (HRT), pregnancy, years since last birth and abortion. For each reproductive risk factor, BC subtype, and study design (case-control/cohort or case-case), random-effects models were used to estimate pooled relative risks and 95% confidence intervals.

RESULTS

A total of 75 studies met the inclusion criteria for systematic review. Among the case-control/cohort studies, later age at menarche and breastfeeding were consistently associated with decreased risk of BC across all subtypes, while later age at menopause, later age of first childbirth, and nulliparity/low parity were associated with increased risk of luminal A, luminal B, and HER2 subtypes. In the case-only analysis, compared to luminal A, postmenopausal status increased the risk of HER2 and TNBC. Associations were less consistent across subtypes for OC and HRT use.

CONCLUSION

Identifying common risk factors across BC subtypes can enhance the tailoring of prevention strategies, and risk stratification models can benefit from subtype specificity. Adding breastfeeding status to current BC risk prediction models can enhance predictive ability, given the consistency of the associations across subtypes.

Allostatic load and risk of all-cause, cancer-specific, and cardiovascular mortality in older cancer survivors: an analysis of the National Health and Nutrition Examination Survey 1999-2010

Background

Allostatic load has been linked to an increased risk of death in various populations. However, to date, there is no research specifically investigating the effect of allostatic load on mortality in older cancer survivors.

Aims

To investigate the association between allostatic load (AL) and mortality in older cancer survivors.

Method

A total of 1,291 adults aged 60 years or older who survived for ≥1 year since cancer diagnoses were identified from the 1999-2010 National Health and Nutrition Examination Survey. AL was the exposure of interest incorporating 9 clinical measures/biomarkers; one point was added to AL if any of the measures/biomarkers exceeded the normal level. The sum of points was categorized as an ordinal variable to reflect low, moderate, and high AL. Our outcomes of interest were all-cause, cancer-specific, and cardiovascular disease (CVD)-specific mortality. Death was identified by linkage to the National Death Index. Multivariable Cox proportional hazards models were used to estimate adjusted hazard ratio (aHR) and 95% confidence intervals (CI) of mortality by AL category.

Results

Overall, 53.6% of participants were male and 78.4% were white. The mean age of study participants at interview was 72.8 years (SD=7.1). A total of 546 participants died during the follow-up (median follow-up time: 8.0 years). Among them, 158 died of cancer and 106 died of cardiovascular events. Results from multivariable Cox proportional hazards models showed that higher ALS was positively associated with higher all-cause mortality (ALS=4-9 vs. ALS =0-1: aHR=1.52, 95% CI =1.17-1.98, p-trend<0.01) and higher cancer-specific mortality (ALS=4-9 vs. ALS =0-1: aHR=1.80, 95% CI =1.12-2.90, p-trend=0.01). The association between ALS and cardiovascular mortality was positive but non-significant (ALS=4-9 vs. ALS =0-1: aHR=1.59, 95% CI =0.86-2.94, p-trend=0.11).

Conclusions

Our study suggests that older cancer survivors can have a higher risk of death if they have a high burden of AL.

Socioeconomic disparities in immunotherapy use among advanced-stage non-small cell lung cancer patients: analysis of the National Cancer Database

Socioeconomic and racial disparities exist in access to care among patients with non-small cell lung cancer (NSCLC) in the United States. Immunotherapy is a widely established treatment modality for patients with advanced-stage NSCLC (aNSCLC). We examined associations of area-level socioeconomic status with receipt of immunotherapy for aNSCLC patients by race/ethnicity and cancer facility type (academic and non-academic). We used the National Cancer Database (2015-2016), and included patients aged 40-89 years who were diagnosed with stage III-IV NSCLC. Area-level income was defined as the median household income in the patient's zip code, and area-level education was defined as the proportion of adults aged ≥ 25 years in the patient's zip code without a high school degree. We calculated adjusted odds ratios (aOR) with 95% confidence intervals (95% CI) using multi-level multivariable logistic regression. Among 100,298 aNSCLC patients, lower area-level education and income were associated with lower odds of immunotherapy treatment (education: aOR 0.71; 95% CI 0.65, 0.76 and income: aOR 0.71; 95% CI 0.66, 0.77). These associations persisted for NH-White patients. However, among NH-Black patients, we only observed an association with lower education (aOR 0.74; 95% CI 0.57, 0.97). Across all cancer facility types, lower education and income were associated with lower immunotherapy receipt among NH-White patients. However, among NH-Black patients, this association only persisted with education for patients treated at non-academic facilities (aOR 0.70; 95% CI 0.49, 0.99). In conclusion, aNSCLC patients residing in areas of lower educational and economic wealth were less likely to receive immunotherapy.

Association of racial residential segregation with all-cause and cancer-specific mortality in the reasons for geographic and racial differences in stroke (REGARDS) cohort study

•Increased racial residential segregation increased the risk of all-cause mortality among White participants.•Higher interaction lowered the risk of all-cause mortality among White participants.•Higher isolation lowered the risk of cancer mortality among Black participants.

Health-care access dimensions and ovarian cancer survival: SEER-Medicare analysis of the ORCHiD study

BACKGROUND

Racial and ethnic disparities in ovarian cancer (OC) survival are well-documented. However, few studies have investigated how health-care access (HCA) contributes to these disparities.

METHODS

To evaluate the influence of HCA on OC mortality, we analyzed 2008-2015 Surveillance, Epidemiology, and End Results-Medicare data. Multivariable Cox proportional hazards regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between HCA dimensions (affordability, availability, accessibility) and OC-specific and all-cause mortality, adjusting for patient characteristics and treatment receipt.

RESULTS

The study cohort included 7590 OC patients: 454 (6.0%) Hispanic, 501 (6.6%) Non-Hispanic (NH) Black, and 6635 (87.4%) NH White. Higher affordability (HR = 0.90, 95% CI = 0.87 to 0.94), availability (HR = 0.95, 95% CI = 0.92 to 0.99), and accessibility scores (HR = 0.93, 95% CI = 0.87 to 0.99) were associated with lower risk of OC mortality after adjusting for demographic and clinical factors. Racial disparities were observed after additional adjustment for these HCA dimensions: NH Black patients experienced a 26% higher risk of OC mortality compared with NH White patients (HR = 1.26, 95% CI = 1.11 to 1.43) and a 45% higher risk among patients who survived at least 12 months (HR = 1.45, 95% CI = 1.16 to 1.81).

CONCLUSIONS

HCA dimensions are statistically significantly associated with mortality after OC and explain some, but not all, of the observed racial disparity in survival of patients with OC. Although equalizing access to quality health care remains critical, research on other HCA dimensions is needed to determine additional factors contributing to disparate OC outcomes by race and ethnicity and advance the field toward health equity.

The Intersectionality Between Race, Ethnicity, and Residential-level Socioeconomic Status in Disparities of Head and Neck Cancer Outcomes: A SEER study

Background Head and Neck cancer (HNC) mortality differs by race, ethnicity, and socioeconomic status (SES). However, it is unclear whether the relationship between race/ethnicity and HNC-specific mortality varies according to the residence-level SES. Methods: Data from the Surveillance, Epidemiology, and End Results database included participants with primary HNC between 2006-2017 (followed through 2018) to assess the joint association of race/ethnicity and census-tract level SES Yost-index groups (quintiles) with all-cause and HNC-specific mortalities. Relative survival rates at one/five/ten years were calculated. Multivariable Cox proportional hazard regression models estimated hazard-ratios and 95% confidence intervals for all-cause mortality, and Fine-Gray subdistribution hazard models for HNC-specific mortality. Cumulative incidence curves for HNC-specific deaths were estimated. Results 76,095 patients were included in the analysis: 63.2% were <65 years, 73.4% male, and 11.3% non-Hispanic (NH) Black. Most patients (58.3%) were diagnosed at regional or distant stages and 20.6% died of HNC. The five-year relative survival rate increased with SES group, with 51.6% in the lowest SES group, and 74.1% in the highest SES group. NH-Black patients had higher risk of all-cause and HNC-specific mortality than NH-White patients, regardless of the SES group. NH-Asian/Pacific Islander and Hispanic patients had higher risk of HNC-specific mortality in some SES groups. Conclusions NH-Black patients of all SES strata had significantly worse outcomes. Other factors, such as healthcare quality, may be associated with persistent disparities.

Healthcare Access Domains Mediate Racial Disparities in Ovarian Cancer Treatment Quality in a US Patient Cohort: A Structural Equation Modelling Analysis

BACKGROUND

Ovarian cancer survival disparities have persisted for decades, driven by lack of access to quality treatment. We conducted structural equation modeling (SEM) to define latent variables representing three healthcare access (HCA) domains: affordability, availability, and accessibility, and evaluated the direct and indirect associations between race and ovarian cancer treatment mediated through the HCA domains.

METHODS

Patients with ovarian cancer ages 65 years or older diagnosed between 2008 and 2015 were identified from the SEER-Medicare dataset. Generalized SEM was used to estimate latent variables representing HCA domains by race in relation to two measures of ovarian cancer-treatment quality: gynecologic oncology consultation and receipt of any ovarian cancer surgery.

RESULTS

A total of 8,987 patients with ovarian cancer were included in the analysis; 7% were Black. The affordability [Ω: 0.876; average variance extracted (AVE) = 0.689], availability (Ω: 0.848; AVE = 0.636), and accessibility (Ω: 0.798; AVE = 0.634) latent variables showed high composite reliability in SEM analysis. Black patients had lower affordability and availability, but higher accessibility compared with non-Black patients. In fully adjusted models, there was no direct effect observed between Black race to receipt of surgery [β: -0.044; 95% confidence interval (CI), -0.264 to 0.149]; however, there was an inverse total effect (β: -0.243; 95% CI, -0.079 to -0.011) that was driven by HCA affordability (β: -0.025; 95% CI, -0.036 to -0.013), as well as pathways that included availability and consultation with a gynecologist oncologist.

CONCLUSIONS

Racial differences in ovarian cancer treatment appear to be driven by latent variables representing healthcare affordability, availability, and accessibility.

IMPACT

Strategies to mitigate disparities in multiple HCA domains will be transformative in advancing equity in cancer treatment.

Association between peripheral blood cytopenia and cancer mortality: A race-specific risk factor for cancer death

BACKGROUND

Cytopenia is associated with cancer through mechanisms including clonal hematopoiesis and chronic inflammation. Cytopenia is more prevalent in Black people but its relationship with racial disparities in cancer mortality is unknown.

METHODS

Cytopenia was defined in 19,028 Black and White participants recruited between 2003 and 2007 for the REasons for Geographic and Racial Differences in Stroke cohort, based on age-, sex-, and race-adjusted ranges for blood counts. Cancer death was ascertained from Social Security Death and National Death Indexes. Multivariable Cox models estimated the risk of cancer mortality associated with cytopenia, adjusting for demographics (model1), anemia and cancer risk factors (model2), and socioeconomics (model3). Racial differences in the cytopenia-cancer death association were tested by cross-product interaction terms.

RESULTS

Cytopenia was identified in 383 (2%) participants, 250 (65%) White, and 113 (35%) Black people. With median follow-up 11.3 years, 1,224 (6.4%) cancer deaths occurred. Cytopenia was associated with increased risk of cancer mortality in model1 (HR = 1.57, 95%CI 1.15-2.24), model2 (HR = 1.67, 95%CI 1.22-2.30), and model3 (HR = 1.59, 95%CI 1.17-2.17). Participants with cytopenia had twofold increased cumulative incidence of cancer death (13% vs. 6.5%, p < 0.01). Race by cytopenia interaction terms showed higher HR for cancer death in Black compared to White participants: 2.01 versus 1.41 (p_interaction  = 0.016, model1), 2.12 versus 1.45 (p_interaction  = 0.009, model2), and 1.82 versus 1.44 (p_interaction  = 0.04, model3).

CONCLUSION

In this large, observational biracial prospective study, cytopenia was a risk factor for cancer death, with stronger association in Black than White people. Though race impacted the association of cytopenia with cancer mortality, cytopenia was not a mediator of the racial disparity in cancer mortality.

Racial and ethnic inequities of palliative care use among advanced Non‐Small cell lung cancer patients in the US

BACKGROUND

With early intervention, palliative care (PC) can improve quality of life and increase survival among advanced-stage non-small cell lung cancer (aNCSLC) patients. However, PC is often offered late in the cancer treatment course and is underused. We characterized racial/ethnic inequities and the role of healthcare access in PC use among patients with aNSCLC.

METHODS

We used data from the 2004-2016 National Cancer Database, including adults aged 18-90 years with aNSCLC (stage 3 or 4 at diagnosis; n = 803,618). Based on the NCCN guidelines, PC includes non-curative surgery, radiation, chemotherapy, pain management, or any combination of non-curative care. We examined PC use by sociodemographic and health care-level characteristics. To evaluate the independent associations of race/ethnicity and health care access characteristics with PC, we estimated adjusted odds ratios (aOR) with 95% confidence intervals (95% CI). Covariate adjustment sets varied by exposure determined using directed acyclic graphs.

RESULTS

Our population was 55% male and 77% non-Hispanic/Latinx (NH)-White, with a mean age of 68 years. Overall, 19% of patients with aNSCLC used PC. Compared to NH-White patients, NH-Black (aOR:0.91,95% CI:0.89-0.93) and Hispanic/Latinx (aOR:0.80,95% CI:0.77-0.83) patients were less likely to use PC, whereas Indigenous (AI/AN) (aOR:1.18,95% CI:1.06-1.31) and Native Hawaiian/Pacific Islander (aOR:2.08,95% CI:1.83-2.36) patients were more likely. Overall, compared to the privately-insured, uninsured (aOR:1.19,95% CI:1.11-1.28) and Medicaid-insured patients (aOR:1.19,95% CI:1.14-1.25) were more likely to use PC.

CONCLUSION

PC is underutilized among NH-Black and Hispanic/Latinx patients with aNSCLC. Insurance type may play a role in PC use among patients with aNSCLC.

Race, Affordability and Utilization of Supportive Care in Ovarian Cancer Patients

OBJECTIVE

Lack of access to supportive care (SC) among cancer patients have been well documented. However, the role of affordability in this disparity among ovarian cancer (OC) patients remain poorly understood.

METHODS

Patients with OC between 2008 and 2015 were identified from the SEER-Medicare dataset. Racial disparities in utilization of SC medications within the six months of OC diagnosis among patients with Medicare Part D coverage was examined. Multivariable log-binomial regression models were used to examine the associations of race, affordability and SC medications after adjusting for clinical covariates among all patients and separately among patients with advanced-stage disease.

RESULTS

The study cohort included 3697 patients: 86% non-Hispanic White (NHW), 6% non-Hispanic Black (NHB), and 8% Hispanic. In adjusted models, NHB and Hispanic patients were less likely to receive antidepressants compared to NHW patients (NHB: aOR 0.46; 95% CI 0.33-0.63 and Hispanic: aOR 0.79; 95% CI 0.63-0.99). This association persisted for NHB patients with advanced-stage disease (aOR 0.42; 95% CI 0.28-0.62). Patients dual enrolled in Medicaid were more likely to receive antidepressants (overall: aOR 1.34; 95% CI 1.17-1.53 and advanced-stage: aOR 1.29; 95% CI 1.10-1.52). However, patients residing in areas with higher vs. lower proportions of lower educated adults (overall: aOR 0.82; 95% CI 0.70-0.97 and advanced-stage: aOR 0.82; 95% CI 0.68-0.99) were less likely to receive antidepressants.

CONCLUSION

Black OC patients and those living in lower educated areas were less likely to receive antidepressants as SC. Given the importance of post-primary treatment quality of life for cancer patients, interventions are needed to enhance equitable access to SC.

Palliative Care Use Among People Living With HIV and Cancer: An Analysis of the National Cancer Database (2004-2018)

PURPOSE

People living with HIV (PLWH) diagnosed with cancer are less likely to receive quality cancer treatment compared with HIV-negative patients. Timely provision of palliative care (PC) during cancer treatment can increase patient's survival and improve quality of life. Our objective was to compare the use of PC by HIV status among adults diagnosed with cancer in the United States.

METHODS

More than 19 million individuals age 18-90 years diagnosed with the 11 most common cancers among PLWH were selected from the National Cancer Database (2004-2018). The National Cancer Database defined PC as any surgery, radiation, systemic therapy, or pain management treatment with noncurative intent. Multivariable logistic regression was used to examine associations between HIV status and PC receipt by cancer site and stage after adjustment for covariates.

RESULTS

The study population included 52,306 HIV-positive (average age: 56.5 years) and 19,115,520 HIV-negative (average age: 63.7 years) cancer cases. PLWH diagnosed with stage I-III cancer were more likely to receive PC compared with their HIV-negative counterparts (adjusted odds ratio [aO]: 1.96; 95% CI, 1.80 to 2.14); however, they were also less likely to receive curative cancer treatment (aOR, 0.48; 95% CI, 0.40 to 0.59). PLWH diagnosed with stage IV cancer were less likely to receive PC (aOR, 0.70; 95% CI, 0.66 to 0.74) compared with HIV-negative patients. When evaluated by cancer site, PLWH diagnosed with stage IV lung (aOR, 0.80; 95% CI, 0.73 to 0.87) and colorectal (aOR, 0.72, 95% CI, 0.54 to 0.95) cancers were less likely to receive PC than HIV-negative patients.

CONCLUSION

PLWH diagnosed with stage IV cancer, particularly lung and colorectal cancers, were less likely to receive PC compared with cancer patients without HIV. PLWH with nonmetastatic disease were more likely to receive PC but less likely to receive curative treatment, reinforcing that clinical strategies are needed to improve the quality of care among PLWH.

Association of lipid profile biomarkers with breast cancer by molecular subtype: analysis of the MEND study

There is conflicting evidence on the role of lipid biomarkers in breast cancer (BC), and no study to our knowledge has examined this association among African women. We estimated odds ratios (ORs) and 95% confidence intervals (95% CI) for the association of lipid biomarkers-total cholesterol, high-density lipoprotein (HDL), low-density lipoprotein (LDL), and triglycerides-with odds of BC overall and by subtype (Luminal A, Luminal B, HER2-enriched and triple-negative or TNBC) for 296 newly diagnosed BC cases and 116 healthy controls in Nigeria. Each unit standard deviation (SD) increase in triglycerides was associated with 39% increased odds of BC in fully adjusted models (aOR: 1.39; 95% CI: 1.03, 1.86). Among post-menopausal women, higher total cholesterol (aOR: 1.65; 95% CI: 1.06, 2.57), LDL cholesterol (aOR: 1.59; 95% CI: 1.04, 2.41), and triglycerides (aOR: 1.91; 95% CI: 1.21, 3.01) were associated with increased odds of BC. Additionally, each unit SD increase in LDL was associated with 64% increased odds of Luminal B BC (aOR 1.64; 95% CI: 1.06, 2.55). Clinically low HDL was associated with 2.7 times increased odds of TNBC (aOR 2.67; 95% CI: 1.10, 6.49). Among post-menopausal women, higher LDL cholesterol and triglycerides were significantly associated with increased odds of Luminal B BC and HER2 BC, respectively. In conclusion, low HDL and high LDL are associated with increased odds of TN and Luminal B BC, respectively, among African women. Future prospective studies can definitively characterize this association and inform clinical approaches targeting HDL as a BC prevention strategy.

A Socio-Ecological Framework for Cancer Prevention in Low and Middle-Income Countries

Cancer incidence and mortality rates continue to rise globally, a trend mostly driven by preventable cancers occurring in low-and middle-income countries (LMICs). There is growing concern that many LMICs are ill-equipped to cope with markedly increased burden of cancer due to lack of comprehensive cancer control programs that incorporate primary, secondary, and tertiary prevention strategies. Notably, few countries have allocated budgets to implement such programs. In this review, we utilize a socio-ecological framework to summarize primary (risk reduction), secondary (early detection), and tertiary (treatment and survivorship) strategies to reduce the cancer burden in these countries across the individual, organizational, community, and policy levels. We highlight strategies that center on promoting health behaviors and reducing cancer risk, including diet, tobacco, alcohol, and vaccine uptake, approaches to promote routine cancer screenings, and policies to support comprehensive cancer treatment. Consistent with goals promulgated by the United Nations General Assembly on Noncommunicable Disease Prevention and Control, our review supports the development and implementation of sustainable national comprehensive cancer control plans in partnership with local communities to enhance cultural relevance and adoption, incorporating strategies across the socio-ecological framework. Such a concerted commitment will be necessary to curtail the rising cancer and chronic disease burden in LMICs.

Socio-Economic and Rural-Urban Differences in Healthcare and Catastrophic Health Expenditure Among Cancer Patients in China: Analysis of the China Health and Retirement Longitudinal Study

Objective: In China, cancer accounts for one-fifth of all deaths, and exerts a heavy toll on patients, families, healthcare systems, and society as a whole. This study aims to examine the temporal trends in socio-economic and rural-urban differences in treatment, healthcare service utilization and catastrophic health expenditure (CHE) among adult cancer patients in China. We also investigate the relationship between different types of treatment and healthcare service utilization, as well as the incidence of CHE.

Materials and Methods: We analyzed data from the 2011 and 2015 China Health and Retirement Longitudinal Study, a nationally representative survey including 17,224 participants (234 individuals with cancer) in 2011 and 19,569 participants (368 individuals with cancer) in 2015. The study includes six different types of cancer treatments: Chinese traditional medication (TCM); western modern medication (excluding TCM and chemotherapy medications); a combination of TCM & western medication; surgery; chemotherapy; and radiation therapy. Multivariable regression models were performed to investigate the association between cancer treatments and healthcare service utilization and CHE.

Results: The age-adjusted prevalence of cancer increased from 1.37% to 1.84% between 2011 and 2015. More urban patients (54%) received cancer treatment than rural patients (46%) in 2015. Patients with high socio-economic status (SES) received a higher proportion of surgical and chemotherapy treatments compared to patients with low SES in 2015. Incidence of CHE declined by 22% in urban areas but increased by 31% in rural areas. We found a positive relationship between cancer treatment and outpatient visits (OR = 2.098, 95% CI = 1.453, 3.029), hospital admission (OR = 1.961, 95% CI = 1.346, 2.857) and CHE (OR = 1.796, 95% CI = 1.231, 2.620). Chemotherapy and surgery were each associated with a 2-fold increased risk of CHE.

Conclusions: Significant improvements in health insurance benefit packages are necessary to ensure universal, affordable and patient-centered health coverage for cancer patients in China.

Racial Differences in Survival Among Advanced-stage Non-small-Cell Lung Cancer Patients Who Received Immunotherapy: An Analysis of the US National Cancer Database (NCDB)

Lung cancer is the most common cause of cancer death among men and women in the United States, with significant racial disparities in survival. It is unclear whether these disparities persist upon equal utilization of immunotherapy. The purpose of this study was to evaluate the association between race and all-cause mortality among non-small-cell lung cancer (NSCLC) patients who received immunotherapy. We obtained data from the 2016 National Cancer Database on patients diagnosed with advanced-stage (III-IV) NSCLC from 2015 to 2016. Multivariable Cox proportional hazards models were used to calculate hazard ratios (HR) and 95% confidence intervals (95% CI) by race/ethnicity. A total of 2940 patients were included. Non-Hispanic (NH)-Black patients had a lower risk of death relative to NH-White patients (HR: 0.85; 95% CI: 0.73, 0.98) after adjusting for sociodemographic, clinical, and treatment factors. Formal tests of interaction evaluating race with Charlson-Deyo comorbidity score and race with area-level median income were nonsignificant. However, in stratified analyses, NH-Black versus NH-White patients had a lower risk of death in models adjusted for sociodemographic factors among those with at least 1 comorbidity (HR: 0.75; 95% CI: 0.57, 0.97), and those living in regions within the 2 lowest quartiles of median income (HR: 0.82; 95% CI: 0.68, 0.99). Among advanced-stage NSCLC patients who received immunotherapy, NH-Black patients experienced higher survival compared with NH-White patients. We urge the implementation of policies and interventions that seek to equalize access to care as a means of addressing differences in overall NSCLC survival by race.

Abstract PO-123: Palliative care use among people living with HIV and cancer: An analysis of the National Cancer Database (2004-2018)

Background: Prior studies demonstrate that people living with HIV (PLWH) are less likely to receive any curative cancer treatment compared to their HIV-negative counterparts. Data regarding trends of palliative treatment use among PLWH with cancer are lacking. Timely intervention with palliative care can increase survival and improve patient-reported quality of life among all cancer patients, particularly those with metastatic disease. Our objective was to compare the use of palliative care by HIV status among patients with cancer in the United States. Methods: We used data from more than 19 million patients 18-90 years of age in the National Cancer Database diagnosed between 2004 and 2018. The eleven most common cancers diagnosed among PLWH were selected, including Kaposi Sarcoma, cancers of the head and neck, upper gastrointestinal tract, colorectum, anus, lung, female breast, cervix, and prostate, Hodgkin lymphoma, and diffuse large B-cell lymphoma (DLBCL). HIV status was determined from reported comorbidities using the ICD-9-CM diagnosis codes 04200-044.90, 07593, V0800 and ICD-10-CM codes B20-B22, B24, Z21. Palliative care was defined as any surgery, radiation, systemic therapy, or pain management treatment with non-curative intent. Multivariate logistic regression was used to examine associations between HIV-status and palliative care use by cancer site and stage-at diagnosis and adjusted for age at diagnosis, race/ethnicity, gender, insurance, geographic region, comorbidity index, and cancer diagnosis year. Results: The study population included 52,306 HIV-positive (Avg. age: 56.5 years) and 19,115, 520 HIV-negative (Avg. age: 63.7 years) cancer cases. PLWH with cancer were more likely to be Non-Hispanic (NH)-Black (35.1% vs. 10.8%, p&lt;0.001) and Hispanic (11.2% vs. 5.6%, p&lt;0.001) compared to HIV-negative cancer patients. PLWH with stage 1-3 cancer at diagnosis were more likely to receive palliative care compared to their HIV negative counterparts (aOR:1.96, 95% CI:1.80-2.14). Conversely, PLWH with stage-4 cancer at diagnosis were less likely to receive palliative care (aOR:0.70, 95% CI:0.66-0.74). When evaluated by cancer site, stage-4 lung (aOR:0.80, 95% CI: 0.73-0.87) and colorectal (aOR: 0.72, 95% CI: 0.54-0.95) HIV-positive cancer patients were less likely to receive palliative care than HIV-negative cancer patients. PLWH diagnosed with stage I-III cancer who received palliative care were less likely to receive curative cancer treatment (aOR:0.48, 95% CI:0.40-0.59). Conclusion: Overall, utilization of palliative care is low among PLWH with cancer. PLWH diagnosed with stage-four cancer, particularly lung and colorectal cancer patients, are less likely to receive palliative care compared to their HIV-negative counterparts. PLWH with non-metastatic disease are more likely to receive palliative care, reinforcing prior data that curative treatment is not offered. Efforts to address the overall low utilization and better understand disparate utilization by cancer stage among PLWH should be prioritized.

Citation Format: Jessica Y. Islam, Leticia Nogueria, Gita Suneja, Anna Coghill, Tomi Akinyemiju. Palliative care use among people living with HIV and cancer: An analysis of the National Cancer Database (2004-2018) [abstract]. In: Proceedings of the AACR Virtual Conference: 14th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2021 Oct 6-8. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2022;31(1 Suppl):Abstract nr PO-123.

Abstract PO-178: Metabolic syndrome and risk of breast cancer by molecular subtype: Analysis of the Mechanisms for Novel and Established Risk Factors for Breast Cancer in Women of Nigerian Descent (MEND) study

Background: The African continent experiences the highest age-standardized breast cancer mortality globally, with Nigeria reporting the highest rate within the continent. Breast cancer in Nigeria is characterized by several striking epidemiological features. These cancers are disproportionately pre-menopausal, diagnosed at late-stages with high-grade disease, and characterized by the highly-aggressive triple-negative subtype. However, few studies have focused on understanding the differentially patterned risk factors associated with high breast cancer burden among Nigerian women. Metabolic syndrome is characterized by a cluster of biological irregularities and is known to be a significant predictor of breast cancer incidence. The purpose of this analysis was to examine the association of metabolic syndrome with breast cancer and molecular subtypes among Nigerian women for first time. Methods: Metabolic syndrome was defined as having at least 3 out of 5 of: high blood pressure (≥130/85 mm Hg), reduced HDL (&lt;50 mg/dL), elevated triglyceride (&gt;150 mg/dL), high waist circumference (≥80 cm), and prior diagnosis of diabetes or elevated fasting glucose level (≥100 mg/dL). Among 296 newly diagnosed breast cancer cases and 259 healthy controls, multivariable logistic regression models were utilized to estimate adjusted odds ratios (aOR) and 95% confidence intervals (95% CI) for the association between metabolic syndrome and breast cancer overall. Multinomial logistic regression models were used to evaluate each molecular subtype (Luminal A, Luminal B, HER2-enriched and triple-negative). Results: Cases compared to controls were significantly more likely to have metabolic syndrome (30% vs. 17%; p&lt;0.001). After adjusting for age, socio-demographic and reproductive risk factors, there was a positive association between metabolic syndrome and breast cancer (aOR: 1.84, 95% CI: 1.07, 3.16). In stratified analyses, metabolic syndrome was associated with breast cancer regardless of BMI status; however, the estimate was significant only among normal weight women (aOR: 3.85; 95% CI: 1.25, 11.90). Metabolic syndrome was significantly associated with the triple-negative breast cancer subtype (aOR: 4.37, 95% CI: 1.67, 11.44); associations for other molecular subtypes were not statistically significant. Conclusions: Metabolic syndrome appears to be a robust risk factor for breast cancer, particularly for triple-negative breast cancer. Public health and clinical interventions can provide substantial benefits in reducing the burden of metabolic syndrome and preventing breast cancer among Nigerian women.

Citation Format: Tomi Akinyemiju. Metabolic syndrome and risk of breast cancer by molecular subtype: Analysis of the Mechanisms for Novel and Established Risk Factors for Breast Cancer in Women of Nigerian Descent (MEND) study [abstract]. In: Proceedings of the AACR Virtual Conference: 14th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2021 Oct 6-8. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2022;31(1 Suppl):Abstract nr PO-178.

Abstract PO-107: Racial differences in survival among advanced-stage non-small cell lung cancer patients who received immunotherapy: An analysis of the U.S. National Cancer Database (NCDB)

Background: Lung cancer is the most common cause of cancer death among men and women in the United States, with 85% of all cases characterized as non-small cell lung cancer (NSCLC). These cancers are often diagnosed at advanced stage due to inapparent clinical symptoms. In 2015, the Food and Drug Administration approved the first use of immunotherapy for NSCLC, and it has since become a standard modality for treatment among advanced-stage NSCLC patients. Although significant racial disparities have been documented in overall NSCLC survival, it is unclear whether these disparities persist upon equal utilization of immunotherapy. The purpose of this study was to evaluate the association between race and all-cause mortality among advanced-stage non-small cell lung (NSCLC) cancer patients who received immunotherapy. Methods: We obtained data from the 2016 National Cancer Database on patients diagnosed with advanced-stage (III-IV) NSCLC from 2015-2016. The NCDB is a joint project of the American Cancer Society and the Commission on Cancer of the American College of Surgeons, and captures 70% of all patients with newly diagnosed cancer in the United States. Multivariable Cox proportional hazards models were used to calculate hazard ratios (HR) and 95% confidence intervals (95% CI) by race/ethnicity. Additionally, we evaluated the interaction of race/ethnicity with Charlson-Deyo comorbidity score and area-level median income using stratified models and formal tests of interaction. Results: A total of 3,068 patients were included. NH-Black patients had a lower risk of death relative to NH-White patients (HR 0.85; 95% CI 0.74, 0.98) after adjusting for sociodemographic, clinical, and treatment factors. Formal tests of interaction evaluating race with Charlson-Deyo comorbidity score and race with area-level median income were nonsignificant. However, in stratified analyses, NH-Black vs. NH-White patients had a lower risk of death in models adjusted for sociodemographic factors among those with at least one comorbidity (HR 0.76; 95% CI 0.59, 0.98), and those living in regions within the two lowest quartiles of median income (HR 0.82; 95% CI 0.69, 0.98). Conclusions: Among advanced-stage NSCLC patients who received immunotherapy, NH-Black patients experienced higher survival compared to NH-White patients. We urge the implementation of policies and interventions that seek to equalize access to care as a means of addressing differences in overall NSCLC survival by race.

Citation Format: Anjali Gupta, Tomi Akinyemiju. Racial differences in survival among advanced-stage non-small cell lung cancer patients who received immunotherapy: An analysis of the U.S. National Cancer Database (NCDB) [abstract]. In: Proceedings of the AACR Virtual Conference: 14th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2021 Oct 6-8. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2022;31(1 Suppl):Abstract nr PO-107.

Abstract PO-113: Overall survival in ovarian cancer patients seeking care at more than one treatment facility

Purpose: Ovarian cancer is the most lethal gynecological cancer and despite advances in treatment, most patients are diagnosed at an advanced stage with poor prognosis. Black women have a lower 5 year survival than White women when diagnosed at the same stage, and while there are a number of contributing factors, quality of treatment center may play a significant role. Choice in treatment facility may be limited by insurance coverage, availability of high-volume hospitals or specialists, or ability to access high-quality facilities, and it is unclear how a change in treatment facility may impact ovarian cancer survival. Methods: Participant usage files from the National Cancer Database were used to interrogate the characteristics of patients that seek treatment at more than one Commission on Cancer accredited facility in the United States to determine the effect on overall survival. Multivariable Cox regression analysis models were used to estimate hazard ratios (HRs) and 95% confidence intervals (95% CI) to determine risk of mortality for patients receiving all of their first course treatment at one facility vs those receiving first course treatment at more than one facility. The fully-adjusted model was then stratified by race/ethnicity (Non-Hispanic White, Non-Hispanic Black, Hispanic) and by facility type (Community, Comprehensive Community, Academic/Research, Integrative Network). Results: A total of 211,937 women were included in the analysis. Patients were more likely to receive all of their first course treatment at one facility (81%). Patents treated at more than one facility had a 26% increase in ovarian cancer mortality compared with those treated at a single facility (HR: 1.26, 95% CI: 1.24-1.28). When stratified by race, NH-Black patients had the lowest increase in overall survival (HR: 1.08, 95% CI: 1.03-1.14) when compared with NH-White (HR: 1.27, 95% CI: 1.25-1.29) and Hispanic (HR: 1.33, 95% CI: 1.28-1.39) patients. Stratification by facility type showed that among women receiving treatment at more than one facility, those switching to an academic research center had the highest mortality (HR: 1.31, 95% CI: 1.28-1.34). Conclusions: Ovarian cancer patients that received treatment at more than one facility had a higher rate of mortality than those who were treated at a single center. Our findings suggest the need for further investigation into the effects of continuity of care, including how race, facility type, and other socioeconomic factors may modulate those effects.

Citation Format: April Deveaux, Jessica Islam, Tomi Akinyemiju. Overall survival in ovarian cancer patients seeking care at more than one treatment facility [abstract]. In: Proceedings of the AACR Virtual Conference: 14th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2021 Oct 6-8. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2022;31(1 Suppl):Abstract nr PO-113.

Metabolic Syndrome and Risk of Breast Cancer by Molecular Subtype: Analysis of the MEND Study

Metabolic syndrome is a cluster of biological irregularities that is a known risk factor for cardiovascular disease, stroke, and diabetes. In a case-control study of 555 West African women, we observed that metabolic syndrome was strongly associated with breast cancer and the aggressive triple-negative molecular subtype, highlighting a need for clinical and lifestyle interventions targeting metabolic syndrome to reduce breast cancer risk in this population.

Ovarian Cancer Epidemiology, Healthcare Access and Disparities (ORCHiD): methodology for a population-based study of black, Hispanic and white patients with ovarian cancer

INTRODUCTION

Less than 40% of patients with ovarian cancer (OC) in the USA receive stage-appropriate guideline-adherent surgery and chemotherapy. Black patients with cancer report greater depression, pain and fatigue than white patients. Lack of access to healthcare likely contributes to low treatment rates and racial differences in outcomes. The Ovarian Cancer Epidemiology, Healthcare Access and Disparities study aims to characterise healthcare access (HCA) across five specific dimensions-Availability, Affordability, Accessibility, Accommodation and Acceptability-among black, Hispanic and white patients with OC, evaluate the impact of HCA on quality of treatment, supportive care and survival, and explore biological mechanisms that may contribute to OC disparities.

METHODS AND ANALYSIS

We will use the Surveillance Epidemiology and Ends Results dataset linked with Medicare claims data from 9744 patients with OC ages 65 years and older. We will recruit 1641 patients with OC (413 black, 299 Hispanic and 929 white) from cancer registries in nine US states. We will examine HCA dimensions in relation to three main outcomes: (1) receipt of quality, guideline adherent initial treatment and supportive care, (2) quality of life based on patient-reported outcomes and (3) survival. We will obtain saliva and vaginal microbiome samples to examine prognostic biomarkers. We will use hierarchical regression models to estimate the impact of HCA dimensions across patient, neighbourhood, provider and hospital levels, with random effects to account for clustering. Multilevel structural equation models will estimate the total, direct and indirect effects of race on treatment mediated through HCA dimensions.

ETHICS AND DISSEMINATION

Result dissemination will occur through presentations at national meetings and in collaboration with collaborators, community partners and colleagues across othercancer centres. We will disclose findings to key stakeholders, including scientists, providers and community members. This study has been approved by the Duke Institutional Review Board (Pro00101872). Safety considerations include protection of patient privacy. All disseminated data will be deidentified and summarised.

Association of body composition with odds of breast cancer by molecular subtype: analysis of the Mechanisms for Established and Novel Risk Factors for Breast Cancer in Nigerian Women (MEND) study

BACKGROUND

The association between obesity and breast cancer (BC) has been extensively studied among US, European and Asian study populations, with often conflicting evidence. However, despite the increasing prevalence of obesity and associated conditions in Africa, the continent with the highest age-standardized BC mortality rate globally, few studies have evaluated this association, and none has examined in relation to molecular subtypes among African women. The current analysis examines the association between body composition, defined by body mass index (BMI), height, and weight, and BC by molecular subtype among African women.

METHODS

We estimated odds ratios (ORs) and 95% confidence intervals (95% CI) for the association between measures of body composition and BC and molecular subtypes among 419 histologically confirmed cases of BC and 286 healthy controls from the Mechanisms for Established and Novel Risk Factors for Breast Cancer in Women of Nigerian Descent (MEND) case-control study.

RESULTS

Higher BMI (aOR: 0.79; 95% CI: 0.67, 0.95) and weight (aOR: 0.83; 95% CI: 0.69, 0.98) were associated with reduced odds of BC in adjusted models, while height was associated with non-statistically significant increased odds of BC (aOR: 1.07, 95% CI: 0.90, 1.28). In pre/peri-menopausal, but not post-menopausal women, both higher BMI and weight were significantly associated with reduced odds of BC. Further, higher BMI was associated with reduced odds of Luminal A, Luminal B, and HER2-enriched BC among pre/peri-menopausal women, and reduced odds of triple-negative BC among post-menopausal women.

CONCLUSIONS

Higher BMI and weight were associated with reduced odds of BC overall and by molecular subtype among West African women. Larger studies of women of African descent are needed to definitively characterize these associations and inform cancer prevention strategies.

Social determinants of health and cancer mortality in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) cohort study

BACKGROUND

Social determinants of health (SDOHs) cluster together and can have deleterious impacts on health outcomes. Individually, SDOHs increase the risk of cancer mortality, but their cumulative burden is not well understood. The authors sought to determine the combined effect of SDOH on cancer mortality.

METHODS

Using the Reasons for Geographic and Racial Differences in Stroke (REGARDS) cohort, the authors studied 29,766 participants aged 45+ years and followed them 10+ years. Eight potential SDOHs were considered, and retained SDOHs that were associated with cancer mortality (P < .10) were retained to create a count (0, 1, 2, 3+). Cox proportional hazard models estimated associations between the SDOH count and cancer mortality through December 31, 2017, adjusting for confounders. Models were age-stratified (45-64 vs 65+ years).

RESULTS

Participants were followed for a median of 10.6 years (interquartile range [IQR], 6.5, 12.7 years). Low education, low income, zip code poverty, poor public health infrastructure, lack of health insurance, and social isolation were significantly associated with cancer mortality. In adjusted models, among those <65 years, compared to no SDOHs, having 1 SDOH (adjusted hazard ratio [aHR], 1.39; 95% CI, 1.11-1.75), 2 SDOHs (aHR, 1.61; 95% CI, 1.26-2.07), and 3+ SDOHs (aHR, 2.09; 95% CI, 1.58-2.75) were associated with cancer mortality (P for trend <.0001). Among individuals 65+ years, compared to no SDOH, having 1 SDOH (aHR, 1.16; 95% CI, 1.00-1.35) and 3+ SDOHs (aHR, 1.26; 95% CI, 1.04-1.52) was associated with cancer mortality (P for trend = .032).

CONCLUSIONS

A greater number of SDOHs were significantly associated with an increased risk of cancer mortality, which persisted after adjustment for confounders.

Early Medicaid Expansion and Cancer Mortality

BACKGROUND

Although Medicaid expansion is associated with decreased uninsured rates and earlier cancer diagnoses, no study has demonstrated an association between Medicaid expansion and cancer mortality. Our primary objective was to quantify the relationship between early Medicaid expansion and changes in cancer mortality rates.

METHODS

We obtained county-level data from the National Center for Health Statistics for adults aged 20-64 years who died from cancer from 2007 to 2009 (preexpansion) and 2012 to 2016 (postexpansion). We compared changes in cancer mortality rates in early Medicaid expansion states (CA, CT, DC, MN, NJ, and WA) vs nonexpansion states through a difference-in-differences analysis using hierarchical Bayesian regression. An exploratory analysis of cancer mortality changes associated with the larger-scale 2014 Medicaid expansions was also performed.

RESULTS

In adjusted difference-in-differences analyses, we observed a statistically significant decrease of 3.07 (95% credible interval = 2.19 to 3.95) cancer deaths per 100 000 in early expansion vs nonexpansion states, which translates to an estimated decrease of 5276 cancer deaths in the early expansion states during the study period. Expansion-associated decreases in cancer mortality were observed for pancreatic cancer. Exploratory analyses of the 2014 Medicaid expansions showed a decrease in pancreatic cancer mortality (-0.18 deaths per 100 000, 95% confidence interval = -0.32 to -0.05) in states that expanded Medicaid by 2014 compared with nonexpansion states.

CONCLUSIONS

Early Medicaid expansion was associated with reduced cancer mortality rates, especially for pancreatic cancer, a cancer with short median survival where changes in prognosis would be most visible with limited follow-up.

Association of genetic variants of FBXO32 and FOXO6 in the FOXO pathway with breast cancer risk

Forkhead box class O (FOXO) transcription factors play a pivotal role in regulating a variety of biological processes, including organismal development, cell signaling, cell metabolism, and tumorigenesis. Therefore, we hypothesize that genetic variants in FOXO pathway genes are associated with breast cancer (BC) risk. To test this hypothesis, we conducted a large meta-analysis using 14 published genome-wide association study (GWAS) data sets in the Discovery, Biology, and Risk of Inherited Variants in Breast Cancer (DRIVE) study. We assessed associations between 5214 (365 genotyped in DRIVE and 4849 imputed) common single-nucleotide polymorphisms (SNPs) in 55 FOXO pathway genes and BC risk. After multiple comparison corrections by the Bayesian false-discovery probability method, we found five SNPs to be significantly associated with BC risk. In stepwise multivariate logistic regression analysis with adjustment for age, principal components, and previously published SNPs in the same data set, three independent SNPs (i.e., FBXO32 rs10093411 A>G, FOXO6 rs61229336 C>T, and FBXO32 rs62521280 C>T) remained to be significantly associated with BC risk (p = 0.0008, 0.0011, and 0.0017, respectively). Additional expression quantitative trait loci analysis revealed that the FBXO32 rs62521280 T allele was associated with decreased messenger RNA (mRNA) expression levels in breast tissue, while the FOXO6 rs61229336 T allele was found to be associated with decreased mRNA expression levels in the whole blood cells. Once replicated by other investigators, these genetic variants may serve as new biomarkers for BC risk.

Health Care Access Measures and Palliative Care Use by Race/Ethnicity among Metastatic Gynecological Cancer Patients in the United States

Palliative care improves quality-of-life and extends survival, however, is underutilized among gynecological cancer patients in the United States (U.S.). Our objective was to evaluate associations between healthcare access (HCA) measures and palliative care utilization among U.S. gynecological cancer patients overall and by race/ethnicity. We used 2004-2016 data from the U.S. National Cancer Database and included patients with metastatic (stage III-IV at-diagnosis) ovarian, cervical, and uterine cancer (n = 176,899). Palliative care was defined as non-curative treatment and could include surgery, radiation, chemotherapy, and pain management, or any combination. HCA measures included insurance type, area-level socioeconomic measures, distance-to-care, and cancer treatment facility type. We evaluated associations of HCA measures with palliative care use overall and by race/ethnicity using multivariable logistic regression. Our population was mostly non-Hispanic White (72%), had ovarian cancer (72%), and 24% survived <6 months. Five percent of metastatic gynecological cancer patients utilized palliative care. Compared to those with private insurance, uninsured patients with ovarian (aOR: 1.80,95% CI: 1.53-2.12), and cervical (aOR: 1.45,95% CI: 1.26-1.67) cancer were more likely to use palliative care. Patients with ovarian (aOR: 0.58,95% CI: 0.48-0.70) or cervical cancer (aOR: 0.74,95% CI: 0.60-0.88) who reside >45 miles from their provider were less likely to utilize palliative care than those within <2 miles. Ovarian cancer patients treated at academic/research programs were less likely to utilize palliative care compared to those treated at community cancer programs (aOR: 0.70, 95%CI: 0.58-0.84). Associations between HCA measures and palliative care utilization were largely consistent across U.S. racial-ethnic groups. Insurance type, cancer treatment facility type, and distance-to-care may influence palliative care use among metastatic gynecological cancer patients in the U.S.

Immunotherapy Utilization Among Patients With Metastatic NSCLC: Impact of Comorbidities

In patients with metastatic non-small cell lung cancer (mNSCLC), the extent to which immunotherapy utilization rate varies by comorbidities is unclear. Using the National Cancer Database from 2015 to 2016, we assessed the association between levels of comorbidity and immunotherapy utilization among mNSCLC patients. Burden of comorbidities was ascertained based on the modified Charlson-Deyo score and categorized as an ordinal variable (0, 1, and ≥2). Immunotherapy utilization was determined based on registry data. Multivariable logistic regressions were used to estimate adjusted odds ratios (aOR) and 95% confidence intervals (CI) for the comorbidity score while adjusting for sociodemographic factors, histopathologic subtype, surgery, chemotherapy, radiotherapy, insurance, facility type, and other cancer history. Subgroup analyses were conducted by age and race/ethnicity. Overall, of the 89,030 patients with mNSCLC, 38.6% (N=34,382) had the comorbidity score of ≥1. Most patients were non-Hispanic white (82.3%, N=73,309) and aged 65 years and above (63.2%, N=56,300), with the mean age of 68.4 years (SD=10.6). Only 7.0% (N=6220) of patients received immunotherapy during 2015-2106. Patients with a comorbidity score of ≥2 had a significantly lower rate of immunotherapy utilization versus those without comorbidities (aOR=0.85; 95% CI, 0.78-0.93; P-trend<0.01). In subgroup analysis by age, association patterns were similar among patients younger than 65 and those aged 65-74 years. There were no significant differences in subgroup analysis by race/ethnicity, although statistical significance was only observed for white patients (comorbidity score ≥2 vs. 0: aOR=0.85; 95% CI, 0.77-0.93; P-trend<0.01). In conclusion, mNSCLC patients with a high burden of comorbidities are less likely to receive immunotherapy.

Temporal changes in allostatic load patterns by age, race/ethnicity, and gender among the US adult population; 1988-2018

The objective of this study is to provide an assessment of allostatic load (AL) burden among US adults across race/ethnicity, gender, and age groups over a 30-year time period. We analyzed data from 50,671 participants of the National Health and Nutrition Examination Survey (NHANES) years 1988 through 2018. AL score was defined as the sum total for abnormal measures of the following components: serum albumin, body mass index, serum C - reactive protein, serum creatinine, diastolic blood pressure, glycated hemoglobin, systolic blood pressure, total cholesterol, and serum triglycerides. We performed modified Poisson regression to estimate the adjusted Relative Risks (aRRs) of allostatic load, and generalized linear models to determine adjusted mean differences accounting for NHANES sampling weights. Among US adults aged 18 or older, the prevalence of high AL increased by more than 45% from 1988 to 1991 to 2015-2018, from 33.5% to 48.6%. By the latest period, 2015-2018, Non-Hispanic Black women (aRR: 1.292; 95% CI: 1.290-1.293) and Latina women (aRR: 1.266; 95% CI: 1.265-1.267) had higher risks of AL than non-Hispanic White women. Similar trends were observed among men. Age-adjusted mean AL score among NH-Black and Latinx adults was higher than for NH-Whites of up to a decade older regardless of gender. From 1988 through 2018, Adults aged 40 years old and older had over 2-fold increased risks of high AL when compared to adults 18-29 years old. After 30-years of collective data, racial disparities in allostatic load persist for NH-Black and Latinx adults.

Use of therapeutic plasma exchange in heparin-induced thrombocytopenia: A population-based study

BACKGROUND

Heparin-induced thrombocytopenia (HIT) is characterized by anti-heparin/platelet factor 4 immune complexes, which are removed by therapeutic plasma exchange (TPE). Our main objective was to study TPE outcomes in HIT using a large administrative claims database.

STUDY DESIGN AND METHODS

We used the National Inpatient Sample (NIS) to identify hospital discharges of adult patients (≥18) with a primary or secondary diagnosis of HIT. Cases were classified into two groups based on TPE use. The primary outcome was in-hospital mortality. Secondary outcomes were thrombotic events, major bleeding, hospital length of stay (LOS), and charges. Multivariable regression analysis, controlling for age and medical comorbidities, was used to examine the association of TPE with study outcomes.

RESULTS

A HIT diagnosis was made in 22 165 discharges, of which 90 (0.4%) received TPE. Corresponding national estimates are 106 435 and 439, respectively. TPE was not associated with decreased in-hospital mortality (OR = 1.72; 95%CI: 0.93-3.17, P = .085). However, TPE was associated with a higher likelihood of major bleeding (OR = 2.35; 95%CI: 1.40-3.68, P = .0009), primarily driven by gastrointestinal bleeding (OR = 2.21; 95%CI: 1.17-4.17, P = .015). TPE was also associated with higher hospital LOS (20.5 vs 10 day, P < .0001) and charges (USD 211181 vs USD 81654, P < .0001).

CONCLUSION

TPE's association with increased bleeding and a prolonged hospital course indicates that it is being used in HIT cases with a severe clinical phenotype. Future studies are needed to better characterize the HIT phenotype that will most benefit from TPE.

Association of Sedentary Behavior With Cancer Mortality in Middle-aged and Older US Adults

Importance

Sedentary behavior is associated with several health outcomes, including diabetes, cardiovascular disease, and all-cause mortality. Less is known about the association between objectively measured sedentary behavior and cancer mortality, as well as the association with physical activity.

Objective

To examine the association between accelerometer-measured sedentary behavior (total volume and accrual in prolonged, uninterrupted bouts) and cancer mortality.

Design, Setting, and Participants

A prospective cohort study conducted in the contiguous US included 8002 black and white adults aged 45 years or older enrolled in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study. The present analysis was performed from April 18, 2019, to April 21, 2020.

Exposures

Sedentary time, light-intensity physical activity (LIPA), and moderate- to vigorous-intensity physical activity (MVPA) were measured using a hip-mounted accelerometer worn for 7 consecutive days.

Main Outcomes and Measures

Cancer mortality.

Results

Of the 8002 study participants, 3668 were men (45.8%); mean (SD) age was 69.8 (8.5) years. Over a mean (SD) follow-up of 5.3 (1.5) years, 268 participants (3.3%) died of cancer. In multivariable-adjusted models, including MVPA, greater total sedentary time was associated with a greater risk of cancer mortality (tertile 2 vs tertile 1: hazard ratio [HR], 1.45; 95% CI, 1.00-2.11; tertile 3 vs tertile 1: HR, 1.52; 95% CI, 1.01-2.27). Longer sedentary bout duration was not significantly associated with greater cancer mortality risk: after adjustment for MVPA (tertile 2 vs tertile 1: HR, 1.26; 95% CI, 0.90-1.78; tertile 3 vs tertile 1: HR, 1.36; 95% CI, 0.96-1.93). Replacing 30 minutes of sedentary time with LIPA was significantly associated with an 8% (per 30 minutes: HR, 0.92; 95% CI, 0.86-0.97) lower risk of cancer mortality; MVPA was significantly associated with a 31% (per 30 minutes: HR, 0.69; 95% CI, 0.48-0.97) lower risk of cancer mortality.

Conclusions and Relevance

In this cohort study, greater sedentary time, as measured with accelerometry, appeared to be independently associated with cancer mortality risk. Replacing sedentary time with either LIPA or MVPA may be associated with a lower risk of cancer mortality. These findings suggest that the total volume of sedentary behavior is a potential cancer mortality risk factor and support the public health message that adults should sit less and move more to promote longevity.

Use of therapeutic plasma exchange in heparin-induced thrombocytopenia: A population-based study

BACKGROUND

Heparin-induced thrombocytopenia (HIT) is characterized by anti-heparin/platelet factor 4 immune complexes, which are removed by therapeutic plasma exchange (TPE). Our main objective was to study TPE outcomes in HIT using a large administrative claims database.

STUDY DESIGN AND METHODS

We used the National Inpatient Sample (NIS) to identify hospital discharges of adult patients (≥18) with a primary or secondary diagnosis of HIT. Cases were classified into two groups based on TPE use. The primary outcome was in-hospital mortality. Secondary outcomes were thrombotic events, major bleeding, hospital length of stay (LOS), and charges. Multivariable regression analysis, controlling for age and medical comorbidities, was used to examine the association of TPE with study outcomes.

RESULTS

A HIT diagnosis was made in 22 165 discharges, of which 90 (0.4%) received TPE. Corresponding national estimates are 106 435 and 439, respectively. TPE was not associated with decreased in-hospital mortality (OR = 1.72; 95%CI: 0.93-3.17, P = .085). However, TPE was associated with a higher likelihood of major bleeding (OR = 2.35; 95%CI: 1.40-3.68, P = .0009), primarily driven by gastrointestinal bleeding (OR = 2.21; 95%CI: 1.17-4.17, P = .015). TPE was also associated with higher hospital LOS (20.5 vs 10 day, P < .0001) and charges (USD 211181 vs USD 81654, P < .0001).

CONCLUSION

TPE's association with increased bleeding and a prolonged hospital course indicates that it is being used in HIT cases with a severe clinical phenotype. Future studies are needed to better characterize the HIT phenotype that will most benefit from TPE.

Racial disparities in palliative care utilization among metastatic gynecological cancer patients living at last follow-up: An analysis of the National Cancer Data Base

The National Comprehensive Cancer Network recommends palliative care should be integrated in to cancer care starting from cancer diagnosis. However, traditionally palliative care is prioritized for cancer patients at the end-of-life. In our main article titled “Racial and Ethnic Disparities in Palliative Care Utilization Among Gynecological Cancer Patients” we present data describing racial/ethnic disparities among metastatic gynecological cancer patients who were deceased at last follow-up. Here, we expand our population to evaluate racial disparities in palliative care utilization among (1) all metastatic gynecologic cancer patients, regardless of vital status (alive or deceased) (n = 176,899) and (2) among only patients who were alive at last follow-up (n = 66,781). We used data from the 2016 National Cancer Database (NCDB) and included patients between ages 18–90 years with metastatic (stage III-IV) gynecologic cancers including, ovarian, cervical and uterine cancer. Palliative care was defined by NCDB as non-curative treatment, and could include surgery, radiation, chemotherapy, and pain management or any combination. We used multivariable logistic regression to evaluate racial disparities in palliative care use among our two populations of interest. Overall, the mean age of gynecologic cancer patients utilizing palliative care was 66 years. Five percent of all metastatic gynecologic oncology patients utilized palliative care overall; and by cancer site palliative care use was as follows: 4% among ovarian, 9% among cervical, and 11% among uterine cancer patients. Among patients who utilized palliative care, 62% utilized surgery, radiation or chemotherapy only and 12% utilized pain management as a form of palliative care. Among ovarian cancer patients, Hispanic ovarian cancer patients were less likely to utilize palliative care compared to their NH-White counterparts (aOR: 0.79, 95% CI: 0.68–0.91). Among cervical cancer patients, we observed that Hispanic (aOR: 0.65, 95% CI: 0.56–0.75) and Asian (aOR: 0.74, 95% CI: 0.59–0.93) were less likely to utilize palliative care than NH-White cervical cancer patients. We observed no racial disparities in palliative care utilization among uterine cancer patients. When we focused on patients who were alive at last follow-up we found that only 3% of patients utilized palliative care. We also conducted multivariable analyses of racial/ethnic disparities among ovarian and cervical cancer patients who were alive at last follow-up. We were unable to conduct multivariable analyses of uterine cancer patients who were alive at last follow-up due to limited sample size of those who utilized palliative care. We observed no racial/ethnic disparities among this patient population of metastatic gynecologic patients.

Abstract PR03: Racial and health care access disparities in palliative care receipt among patients with advanced non-small cell lung cancer: An analysis of the 2016 National Cancer Database

Background: Early intervention with palliative care (PC) improves quality of life and increases survival among patients with advanced-stage non-small cell lung cancer (aNCSLC). However, PC is often offered late in the cancer care continuum and is underused. Few studies have examined racial disparities or evaluated the role of access to care in PC use among diverse aNCSLC patients. Objective: To determine the prevalence of PC use among aNSCLC patients by race/ethnicity and assess the role of healthcare access in PC disparities Methods: We used data from the 2004-2016 National Cancer Database, including adults aged 18-90 years with aNSCLC (stage 3 or 4 at diagnosis) who were deceased based on vital status on last contact (n=803,618). Based on the NCCN guidelines, PC includes surgery, radiation, chemotherapy, pain management or any combination with non-curative intent. We examined PC utilization rates by sociodemographic and health care access characteristics, and estimated adjusted odds ratios (aOR) and 95% confidence intervals (95% CI) using logistic regression to evaluate the independent associations of race/ethnicity and health care access with PC. Covariate adjustment sets for racial disparities and health care access factor analyses varied by exposure determined using directed acyclic graphs. Results: Our population was 55% male and 77% NH-White, with a mean age of 68 years. Overall, 20% of aNSCLC patients received any PC, while 6% received pain management. Compared to non-Hispanic (NH)-White patients, NH-Black (aOR: 0.91, 95% CI: 0.90-0.93) and Hispanic patients (aOR: 0.80, 9%% CI: 0.77-0.83) were less likely to receive PC after adjustment for socio-demographic and clinical variables. However, American Indian/Alaskan Native (aOR: 1.12, 95% CI: 1.01-1.24) and Native Hawaiian/Pacific Islander (aOR: 2.04, 95% CI:1.79-2.33) were significantly more likely to receive PC. Overall, compared to privately insured patients, uninsured patients (aOR: 1.14, 95% CI: 1.10-1.17) and Medicaid patients (aOR: 1.16, 95% CI: 1.14-1.19) were more likely to receive PC, while patients treated at a community cancer program (aOR: 0.89, 95% CI: 0.87-0.91) were less likely to receive PC compared with those treated at Comprehensive Cancer programs. Treatment at an integrated network cancer program was associated with increased likelihood of PC use (aOR: 1.12, 95% CI: 1.11-1.14). When stratified by race/ethnicity, the associations between healthcare access and PC utilization was consistent across race/ethnic groups. Notably, Asian patients were more likely to receive PC at all types of cancer treatment facilities compared to NH-White patients. Conclusion: NH-Black and Hispanic patients with aNSCLC are less likely to receive palliative care, a disparity that may be associated with insurance type and type of cancer treatment facility. Strategies to enhance palliative care utilization among underserved patients with aNSCLC should be identified in order to improve quality of life and survival.

Citation Format: Jessica Y. Islam, Dejana Braithwaite, Dongyu Zhang, Tina D. Tailor, Tomi Akinyemiju. Racial and health care access disparities in palliative care receipt among patients with advanced non-small cell lung cancer: An analysis of the 2016 National Cancer Database [abstract]. In: Proceedings of the AACR Virtual Conference: Thirteenth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2020 Oct 2-4. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(12 Suppl):Abstract nr PR03.

Abstract IA24: Biology of aggressive breast cancer in women of African descent

Background: Breast cancer (BC) mortality rates are higher among women of African descent, including Nigerian women, compared with other racial groups. In the US, BC mortality is 40% higher among African American women compared with White women, and even after accounting for socioeconomic position (SEP), comorbidities, treatment delays, and genetic background –this disparity is still not fully explained. The higher prevalence of aggressive BC subtypes in women of African descent likely plays a role, and given the shared genetic ancestry and increasing prevalence of cardio-metabolic dysregulation in both Nigerian and African American women, we sought to examine the association between measures of cardio-metabolic dysregulation (excess adiposity, dyslipidemia, CRP) on BC risk and molecular subtype among a contemporary cohort of Nigerian women. Findings might help elucidate additional risk factors for aggressive BC in women of African descent, and inform the development of effective prevention strategies in this population Approach: A total of 301 breast cancer patients recruited from four tertiary hospitals in Nigeria, and 274 healthy community controls were included in the analysis. For both cases and controls, a comprehensive questionnaire was administered, followed by physical examination by trained clinical staff and biospecimen collection. Tumor tissue samples were shipped to the US for pathological confirmation and immunohistochemistry (for cases) and for laboratory assays of cardio-metabolic biomarkers (for cases and controls). We evaluated the associations of excess adiposity, dyslipidemia (HDL and LDL cholesterol) and CRP with breast cancer risk overall and by molecular subtype (i.e. Luminal A, Luminal B, HER2+ or triple-negative/TNBC). Multivariable logistic regression models were used to estimate odds ratios (ORs) and 95% confidence intervals (CI) after adjusting for socio-demographic and reproductive variables (age, menarche, menopause, pregnancy) Results: After adjusting for study covariates, higher BMI was associated with a 38% lower BC risk overall (aOR: 0.62; 95% CI: 0.39, 0.98), however high waist circumference was associated with a 79% increased risk of breast cancer overall (aOR: 1.79, 95% CI: 1.13, 2.82) and 2-fold increased risk of TNBC (aOR: 2.31, 95% CI: 1.00, 5.33). Lower HDL was associated with a modest, non-significantly increased risk of BC overall (aOR: 1.04, 95% CI: 0.62, 1.73), and a significant 5-fold increased risk of TNBC (aOR: 5.26, 95% CI: 1.17, 23.70). There were no significant associations observed for high LDL overall or by subtype. Separately, higher CRP (&gt;10mg/L) was associated with over a 5-fold increased BC risk, and 77% increased risk of TNBC (OR: 1.77, 95% CI: 0.67, 4.66). Conclusion: Cardio-metabolic dysregulation, specifically high waist circumference, low HDL and high CRP appears to contribute to increased risk of aggressive TNBC subtype among Nigerian women and may be useful targets for clinical interventions

Citation Format: Tomi Akinyemiju, MEND study co-investigators. Biology of aggressive breast cancer in women of African descent [abstract]. In: Proceedings of the AACR Virtual Conference: Thirteenth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2020 Oct 2-4. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(12 Suppl):Abstract nr IA24.

Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019

BACKGROUND

In an era of shifting global agendas and expanded emphasis on non-communicable diseases and injuries along with communicable diseases, sound evidence on trends by cause at the national level is essential. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) provides a systematic scientific assessment of published, publicly available, and contributed data on incidence, prevalence, and mortality for a mutually exclusive and collectively exhaustive list of diseases and injuries.

METHODS

GBD estimates incidence, prevalence, mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) due to 369 diseases and injuries, for two sexes, and for 204 countries and territories. Input data were extracted from censuses, household surveys, civil registration and vital statistics, disease registries, health service use, air pollution monitors, satellite imaging, disease notifications, and other sources. Cause-specific death rates and cause fractions were calculated using the Cause of Death Ensemble model and spatiotemporal Gaussian process regression. Cause-specific deaths were adjusted to match the total all-cause deaths calculated as part of the GBD population, fertility, and mortality estimates. Deaths were multiplied by standard life expectancy at each age to calculate YLLs. A Bayesian meta-regression modelling tool, DisMod-MR 2.1, was used to ensure consistency between incidence, prevalence, remission, excess mortality, and cause-specific mortality for most causes. Prevalence estimates were multiplied by disability weights for mutually exclusive sequelae of diseases and injuries to calculate YLDs. We considered results in the context of the Socio-demographic Index (SDI), a composite indicator of income per capita, years of schooling, and fertility rate in females younger than 25 years. Uncertainty intervals (UIs) were generated for every metric using the 25th and 975th ordered 1000 draw values of the posterior distribution.

FINDINGS

Global health has steadily improved over the past 30 years as measured by age-standardised DALY rates. After taking into account population growth and ageing, the absolute number of DALYs has remained stable. Since 2010, the pace of decline in global age-standardised DALY rates has accelerated in age groups younger than 50 years compared with the 1990-2010 time period, with the greatest annualised rate of decline occurring in the 0-9-year age group. Six infectious diseases were among the top ten causes of DALYs in children younger than 10 years in 2019: lower respiratory infections (ranked second), diarrhoeal diseases (third), malaria (fifth), meningitis (sixth), whooping cough (ninth), and sexually transmitted infections (which, in this age group, is fully accounted for by congenital syphilis; ranked tenth). In adolescents aged 10-24 years, three injury causes were among the top causes of DALYs: road injuries (ranked first), self-harm (third), and interpersonal violence (fifth). Five of the causes that were in the top ten for ages 10-24 years were also in the top ten in the 25-49-year age group: road injuries (ranked first), HIV/AIDS (second), low back pain (fourth), headache disorders (fifth), and depressive disorders (sixth). In 2019, ischaemic heart disease and stroke were the top-ranked causes of DALYs in both the 50-74-year and 75-years-and-older age groups. Since 1990, there has been a marked shift towards a greater proportion of burden due to YLDs from non-communicable diseases and injuries. In 2019, there were 11 countries where non-communicable disease and injury YLDs constituted more than half of all disease burden. Decreases in age-standardised DALY rates have accelerated over the past decade in countries at the lower end of the SDI range, while improvements have started to stagnate or even reverse in countries with higher SDI.

INTERPRETATION

As disability becomes an increasingly large component of disease burden and a larger component of health expenditure, greater research and development investment is needed to identify new, more effective intervention strategies. With a rapidly ageing global population, the demands on health services to deal with disabling outcomes, which increase with age, will require policy makers to anticipate these changes. The mix of universal and more geographically specific influences on health reinforces the need for regular reporting on population health in detail and by underlying cause to help decision makers to identify success stories of disease control to emulate, as well as opportunities to improve.

FUNDING

Bill & Melinda Gates Foundation.

Global burden of 87 risk factors in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019

BACKGROUND

Rigorous analysis of levels and trends in exposure to leading risk factors and quantification of their effect on human health are important to identify where public health is making progress and in which cases current efforts are inadequate. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 provides a standardised and comprehensive assessment of the magnitude of risk factor exposure, relative risk, and attributable burden of disease.

METHODS

GBD 2019 estimated attributable mortality, years of life lost (YLLs), years of life lived with disability (YLDs), and disability-adjusted life-years (DALYs) for 87 risk factors and combinations of risk factors, at the global level, regionally, and for 204 countries and territories. GBD uses a hierarchical list of risk factors so that specific risk factors (eg, sodium intake), and related aggregates (eg, diet quality), are both evaluated. This method has six analytical steps. (1) We included 560 risk-outcome pairs that met criteria for convincing or probable evidence on the basis of research studies. 12 risk-outcome pairs included in GBD 2017 no longer met inclusion criteria and 47 risk-outcome pairs for risks already included in GBD 2017 were added based on new evidence. (2) Relative risks were estimated as a function of exposure based on published systematic reviews, 81 systematic reviews done for GBD 2019, and meta-regression. (3) Levels of exposure in each age-sex-location-year included in the study were estimated based on all available data sources using spatiotemporal Gaussian process regression, DisMod-MR 2.1, a Bayesian meta-regression method, or alternative methods. (4) We determined, from published trials or cohort studies, the level of exposure associated with minimum risk, called the theoretical minimum risk exposure level. (5) Attributable deaths, YLLs, YLDs, and DALYs were computed by multiplying population attributable fractions (PAFs) by the relevant outcome quantity for each age-sex-location-year. (6) PAFs and attributable burden for combinations of risk factors were estimated taking into account mediation of different risk factors through other risk factors. Across all six analytical steps, 30 652 distinct data sources were used in the analysis. Uncertainty in each step of the analysis was propagated into the final estimates of attributable burden. Exposure levels for dichotomous, polytomous, and continuous risk factors were summarised with use of the summary exposure value to facilitate comparisons over time, across location, and across risks. Because the entire time series from 1990 to 2019 has been re-estimated with use of consistent data and methods, these results supersede previously published GBD estimates of attributable burden.

FINDINGS

The largest declines in risk exposure from 2010 to 2019 were among a set of risks that are strongly linked to social and economic development, including household air pollution; unsafe water, sanitation, and handwashing; and child growth failure. Global declines also occurred for tobacco smoking and lead exposure. The largest increases in risk exposure were for ambient particulate matter pollution, drug use, high fasting plasma glucose, and high body-mass index. In 2019, the leading Level 2 risk factor globally for attributable deaths was high systolic blood pressure, which accounted for 10·8 million (95% uncertainty interval [UI] 9·51-12·1) deaths (19·2% [16·9-21·3] of all deaths in 2019), followed by tobacco (smoked, second-hand, and chewing), which accounted for 8·71 million (8·12-9·31) deaths (15·4% [14·6-16·2] of all deaths in 2019). The leading Level 2 risk factor for attributable DALYs globally in 2019 was child and maternal malnutrition, which largely affects health in the youngest age groups and accounted for 295 million (253-350) DALYs (11·6% [10·3-13·1] of all global DALYs that year). The risk factor burden varied considerably in 2019 between age groups and locations. Among children aged 0-9 years, the three leading detailed risk factors for attributable DALYs were all related to malnutrition. Iron deficiency was the leading risk factor for those aged 10-24 years, alcohol use for those aged 25-49 years, and high systolic blood pressure for those aged 50-74 years and 75 years and older.

INTERPRETATION

Overall, the record for reducing exposure to harmful risks over the past three decades is poor. Success with reducing smoking and lead exposure through regulatory policy might point the way for a stronger role for public policy on other risks in addition to continued efforts to provide information on risk factor harm to the general public.

FUNDING

Bill & Melinda Gates Foundation.

Collaborative Molecular Epidemiology Study of Metabolic Dysregulation, DNA Methylation, and Breast Cancer Risk Among Nigerian Women: MEND Study Objectives and Design

PURPOSE

To elucidate the role of metabolic dysregulation and associated DNA methylation changes on breast cancer risk and aggressive subtypes among Nigerian women. We describe the design and methods of a collaborative molecular epidemiology study of breast cancer in Nigerian hospitals.

METHODS

The Mechanisms for Novel and Established Risk Factors for Breast Cancer in Women of Nigerian Descent (MEND) study was designed as a matched case-control study of 350 patients, age 18 to 75 years, with newly diagnosed, treatment-naïve breast cancer and 350 age-matched healthy controls from surrounding geographic areas. Patients with breast cancer seen for initial diagnosis at four large tertiary hospitals in southwest Nigeria and one affiliated private hospital were recruited. Healthy female controls were selected from a cohort of 4,000 healthy women recruited as part of the Human Heredity and Health (H3) in Africa Chronic Kidney Disease Case-Control Study in Nigeria. Tumor and adjacent normal tissue, and blood and saliva samples were collected for molecular and epigenetic assays.

RESULTS

Although recruitment is ongoing, a total of 416 patients have been recruited to date, with tumor and blood samples obtained from at least 310 patients. Data on age-matched (± 6 months) controls have also been obtained and harmonized. Lipid assays for 350 pathologically verified cases and 350 age-matched controls is underway, and pathologic characterization of tumors (including immunohistochemistry for subtyping) is ongoing. Data on DNA methylation for tumors and adjacent normal tissue are expected by the end of the study period.

CONCLUSION

The MEND study will provide a unique, high-quality source of data to evaluate the contribution of metabolic dysregulation such as obesity, diabetes, hypertension, and metabolic syndrome to the biology of breast cancer among Nigerian women and foster collaborative studies relevant for women of African descent globally.

Variants in SNAI1, AMDHD1 and CUBN in vitamin D pathway genes are associated with breast cancer risk: a large-scale analysis of 14 GWASs in the DRIVE study

Vitamin D has a potential anticarcinogenic role, possibly through regulation of cell proliferation and differentiation, stimulation of apoptosis, immune modulation and regulation of estrogen receptor levels. Because breast cancer (BC) risk varies among individuals exposed to similar risk factors, we hypothesize that genetic variants in the vitamin D pathway genes are associated with BC risk. To test this hypothesis, we performed a larger meta-analysis using 14 published GWAS datasets in the Discovery, Biology, and Risk of Inherited Variants in Breast Cancer (DRIVE) Study. We assessed associations between 2,994 (237 genotyped in the DRIVE study and 2,757 imputed from the 1000 Genomes Project) single nucleotide polymorphisms (SNPs) in 33 vitamin D pathway genes and BC risk. In unconditional logistic regression analysis, we found 11 noteworthy SNPs to be associated with BC risk after multiple comparison correction by the Bayesian false-discovery probability method (<0.80). In stepwise logistic regression analysis, with adjustment for age, principal components and previously published SNPs in the same study populations, we identified three independent SNPs (SNAI1 rs1047920 C>T, AMDHD1 rs11826 C>T and CUBN rs3914238 C>T) to be associated with BC risk (P = 0.0014, 0.0020 and 0.0022, respectively). Additional expression quantitative trait loci analysis revealed that the rs73276407 A allele, in a high LD with the rs1047920 T allele, was associated with decreased SNAI1 mRNA expression levels, while the rs11826 T allele was significantly associated with elevated AMDHD1 mRNA expression levels. Once replicated by other investigators and additional mechanistic studies, these genetic variants may serve as new biomarkers for susceptibility to BC.

The global, regional, and national burden of cirrhosis by cause in 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017

BACKGROUND

Cirrhosis and other chronic liver diseases (collectively referred to as cirrhosis in this paper) are a major cause of morbidity and mortality globally, although the burden and underlying causes differ across locations and demographic groups. We report on results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 on the burden of cirrhosis and its trends since 1990, by cause, sex, and age, for 195 countries and territories.

METHODS

We used data from vital registrations, vital registration samples, and verbal autopsies to estimate mortality. We modelled prevalence of total, compensated, and decompensated cirrhosis on the basis of hospital and claims data. Disability-adjusted life-years (DALYs) were calculated as the sum of years of life lost due to premature death and years lived with disability. Estimates are presented as numbers and age-standardised or age-specific rates per 100 000 population, with 95% uncertainty intervals (UIs). All estimates are presented for five causes of cirrhosis: hepatitis B, hepatitis C, alcohol-related liver disease, non-alcoholic steatohepatitis (NASH), and other causes. We compared mortality, prevalence, and DALY estimates with those expected according to the Socio-demographic Index (SDI) as a proxy for the development status of regions and countries.

FINDINGS

In 2017, cirrhosis caused more than 1·32 million (95% UI 1·27-1·45) deaths (440 000 [416 000-518 000; 33·3%] in females and 883 000 [838 000-967 000; 66·7%] in males) globally, compared with less than 899 000 (829 000-948 000) deaths in 1990. Deaths due to cirrhosis constituted 2·4% (2·3-2·6) of total deaths globally in 2017 compared with 1·9% (1·8-2·0) in 1990. Despite an increase in the number of deaths, the age-standardised death rate decreased from 21·0 (19·2-22·3) per 100 000 population in 1990 to 16·5 (15·8-18·1) per 100 000 population in 2017. Sub-Saharan Africa had the highest age-standardised death rate among GBD super-regions for all years of the study period (32·2 [25·8-38·6] deaths per 100 000 population in 2017), and the high-income super-region had the lowest (10·1 [9·8-10·5] deaths per 100 000 population in 2017). The age-standardised death rate decreased or remained constant from 1990 to 2017 in all GBD regions except eastern Europe and central Asia, where the age-standardised death rate increased, primarily due to increases in alcohol-related liver disease prevalence. At the national level, the age-standardised death rate of cirrhosis was lowest in Singapore in 2017 (3·7 [3·3-4·0] per 100 000 in 2017) and highest in Egypt in all years since 1990 (103·3 [64·4-133·4] per 100 000 in 2017). There were 10·6 million (10·3-10·9) prevalent cases of decompensated cirrhosis and 112 million (107-119) prevalent cases of compensated cirrhosis globally in 2017. There was a significant increase in age-standardised prevalence rate of decompensated cirrhosis between 1990 and 2017. Cirrhosis caused by NASH had a steady age-standardised death rate throughout the study period, whereas the other four causes showed declines in age-standardised death rate. The age-standardised prevalence of compensated and decompensated cirrhosis due to NASH increased more than for any other cause of cirrhosis (by 33·2% for compensated cirrhosis and 54·8% for decompensated cirrhosis) over the study period. From 1990 to 2017, the number of prevalent cases more than doubled for compensated cirrhosis due to NASH and more than tripled for decompensated cirrhosis due to NASH. In 2017, age-standardised death and DALY rates were lower among countries and territories with higher SDI.

INTERPRETATION

Cirrhosis imposes a substantial health burden on many countries and this burden has increased at the global level since 1990, partly due to population growth and ageing. Although the age-standardised death and DALY rates of cirrhosis decreased from 1990 to 2017, numbers of deaths and DALYs and the proportion of all global deaths due to cirrhosis increased. Despite the availability of effective interventions for the prevention and treatment of hepatitis B and C, they were still the main causes of cirrhosis burden worldwide, particularly in low-income countries. The impact of hepatitis B and C is expected to be attenuated and overtaken by that of NASH in the near future. Cost-effective interventions are required to continue the prevention and treatment of viral hepatitis, and to achieve early diagnosis and prevention of cirrhosis due to alcohol-related liver disease and NASH.

FUNDING

Bill & Melinda Gates Foundation.

Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-Years for 29 Cancer Groups, 1990 to 2017: A Systematic Analysis for the Global Burden of Disease Study

Importance

Cancer and other noncommunicable diseases (NCDs) are now widely recognized as a threat to global development. The latest United Nations high-level meeting on NCDs reaffirmed this observation and also highlighted the slow progress in meeting the 2011 Political Declaration on the Prevention and Control of Noncommunicable Diseases and the third Sustainable Development Goal. Lack of situational analyses, priority setting, and budgeting have been identified as major obstacles in achieving these goals. All of these have in common that they require information on the local cancer epidemiology. The Global Burden of Disease (GBD) study is uniquely poised to provide these crucial data.

Objective

To describe cancer burden for 29 cancer groups in 195 countries from 1990 through 2017 to provide data needed for cancer control planning.

Evidence Review

We used the GBD study estimation methods to describe cancer incidence, mortality, years lived with disability, years of life lost, and disability-adjusted life-years (DALYs). Results are presented at the national level as well as by Socio-demographic Index (SDI), a composite indicator of income, educational attainment, and total fertility rate. We also analyzed the influence of the epidemiological vs the demographic transition on cancer incidence.

Findings

In 2017, there were 24.5 million incident cancer cases worldwide (16.8 million without nonmelanoma skin cancer [NMSC]) and 9.6 million cancer deaths. The majority of cancer DALYs came from years of life lost (97%), and only 3% came from years lived with disability. The odds of developing cancer were the lowest in the low SDI quintile (1 in 7) and the highest in the high SDI quintile (1 in 2) for both sexes. In 2017, the most common incident cancers in men were NMSC (4.3 million incident cases); tracheal, bronchus, and lung (TBL) cancer (1.5 million incident cases); and prostate cancer (1.3 million incident cases). The most common causes of cancer deaths and DALYs for men were TBL cancer (1.3 million deaths and 28.4 million DALYs), liver cancer (572 000 deaths and 15.2 million DALYs), and stomach cancer (542 000 deaths and 12.2 million DALYs). For women in 2017, the most common incident cancers were NMSC (3.3 million incident cases), breast cancer (1.9 million incident cases), and colorectal cancer (819 000 incident cases). The leading causes of cancer deaths and DALYs for women were breast cancer (601 000 deaths and 17.4 million DALYs), TBL cancer (596 000 deaths and 12.6 million DALYs), and colorectal cancer (414 000 deaths and 8.3 million DALYs).

Conclusions and Relevance

The national epidemiological profiles of cancer burden in the GBD study show large heterogeneities, which are a reflection of different exposures to risk factors, economic settings, lifestyles, and access to care and screening. The GBD study can be used by policy makers and other stakeholders to develop and improve national and local cancer control in order to achieve the global targets and improve equity in cancer care.